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This paper presents an integrated methodology for managing industrialisation projects combining know-how, abilities, instruments, and project management tools and techniques to fulfil more efficiently and effectively industrialisation requirements. Different research methods were used during an in-depth case study involving seven researchers over three years at an automotive industry company. Firstly, internal documents related to the organisation's specific set of rules for project management were analysed. Secondly, the organisation project managers' activities were observed. Thirdly, unstructured interviews were conducted to assess the organisation's project management awareness and the actual usage of tools and techniques. Finally, workflows were designed to represent the AS-IS model and the proposed TO-BE model. The methodology integrates a social project management approach, with social media tools, to improve communication between the industrialisation project management teams. Social project management is used to smoothly increase the projects' awareness and management within the global social ecosystem of the organisation.

This work aims to numerically simulate experimental pull-out tests in masonry wall anchors. Advanced Finite Element (FE) 3D models were built to fully reproduce the loadbearing capacity, the failure mode, the stresses and the force-displacement curve and, in general, all the phenomena involved for both brick and stone specimens. Three different modelling approaches were considered. First, a macro-model was adopted, where both brick and stone masonry were assumed as a homogeneous isotropic material.The steel bar and the grouted mortar of the anchor system were considered linear elastic and the system was placed in the specimen using interfaces. The second approach was a unit model, developed with the aim to reproduce the influence of the unit where the anchoring fastening is located. The last approach studied was a micro-model, where both the units and the mortar are considered. The challenge in modelling these systems is highlighted from the different modelling strategies used and compared.